QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models. QuickAI can reduce what would take tens of lines of code into 1-2 lines. This makes fast experimentation very easy and clean.
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I'd suggest you invest in a good UI to rake in the attention of commoners who don't understand technical stuff but could benefit from AI. Since only people with some degree of ML knowledge would actually go to your project they're better off just writing their own code tailored for their needs. also put up some detailed tutorials. Right now it is a job half done, seems to me. Those are my 2 cents.
@ayush The GUI is a good idea. I will look into it further. With this library, you just need to write 2 lines of code, instead of much more and I have provided examples in the examples folder. I don't think it needs more detailed tutorials. Thanks for the feedback!
Hi All,
I am the maker of QuickAI. When I started to get into more advanced Machine Learning, I started to see how these famous neural network architectures(such as EfficientNet), were doing amazing things. However, when I tried to implement these architectures to problems that I wanted to solve, I realized that it was not super easy to implement and quickly experiment with these architectures. That is where QuickAI came in. It allows for easy experimentation of many model architectures quickly.
I would love to get feedback and happy to answer any questions you may have.
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